Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
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TLDR
A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.Abstract:
We have developed a real-time algorithm for detection of the QRS complexes of ECG signals. It reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width. A special digital bandpass filter reduces false detections caused by the various types of interference present in ECG signals. This filtering permits use of low thresholds, thereby increasing detection sensitivity. The algorithm automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate. For the standard 24 h MIT/BIH arrhythmia database, this algorithm correctly detects 99.3 percent of the QRS complexes.read more
Citations
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Journal ArticleDOI
Cardiac Health Diagnosis Using Higher Order Spectra and Support Vector Machine
TL;DR: In this article, the authors extracted seven features from the heart rate signals using HOS and fed them to a support vector machine (SVM) for classification, which achieved a sensitivity of 90% for the classifier with a specificity of 87.93%.
Proceedings ArticleDOI
Body Sensor Network Based Context Aware QRS Detection
Huaming Li,Jindong Tan +1 more
TL;DR: The algorithm uses the context information provided by the body sensor network to improve the QRS detection performance by dynamically selecting the leads with best SNR and taking advantage of the best features of two complementary detection algorithms.
Journal ArticleDOI
A novel application of sample entropy to the electrocardiogram of atrial fibrillation
Raúl Alcaraz,Jose J. Rieta +1 more
TL;DR: This work introduces the application of a non-linear regularity index able to assess significative differences in atrial activity (AA) organization from surface ECG recordings during AF.
Proceedings ArticleDOI
Enabling R-peak detection in wearable ECG: Combining matched filtering and Hilbert transform
TL;DR: A new approach which combines matched filtering and Hilbert transform is proposed which results in a distinctly higher positive predictivity and leads to more satisfying overall outcomes, especially for the critical call of low-SNR data.
Journal ArticleDOI
Curvelets-based ECG steganography for data security
S. Edward Jero,Palaniappan Ramu +1 more
TL;DR: A novel technique which uses curvelet transforms to hide patient information into their ECG signal is presented and the observations validate that its performance is superior compared with the random locations approach.
References
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Journal ArticleDOI
Software QRS detection in ambulatory monitoring--a review.
Olle Pahlm,Leif Sörnmo +1 more
TL;DR: This review asserts that most one-channel QRS detectors described in the literature can be considered as having the same basic structure and a discussion of some of the current detection schemes is presented.
Journal ArticleDOI
Optimal QRS detector.
TL;DR: The problem of detecting the QRS complex in the presence of noise was analysed and an optimised threshold criterion based on FP/FN was developed.
Journal ArticleDOI
Automated High-Speed Analysis of Holter Tapes with Microcomputers
TL;DR: An automated Holtes scanning system based on two microcomputers that detects QRS complexes and measures the QRS durations using computations of first and second derivatives, and can process Holter tapes at 60 times real time and produce printed summaries and 24 h trend plots.
Journal ArticleDOI
Online digital filters for biological signals: some fast designs for a small computer.
TL;DR: The possibilities for extending the class of lowpass recursive digital filters to include high pass, bandpass, and bandstop filters are described, and experience with a PDP 11 computer has shown that these filters may be programmed simply using machine code, and that online operation at sampling rates up to about 8 kHz is possible.
Journal ArticleDOI
A robust-digital QRS-detection algorithm for arrhythmia monitoring
Adriaan Ligtenberg,Murat Kunt +1 more
TL;DR: In this paper a new robust single lead QRS-detection algorithm is presented, allowing real-time applications and results are presented.